In this paper a framework for performing online simulations of freeway traffic has been presented. The heart of the simulator is a microscopic traffic flow model which allows for high-speed simulations. This model is supplemented by the network structure and real-world traffic data stemming from about 3500 loop detectors of the freeway network of North Rhine-Westphalia. Besides the model, the network structure has been discussed in detail. It consists of basic elements, multi-lane and transfer links. These are used to construct more complex topologies like freeway intersections. The simulation framework is applied to the freeway network of North Rhine-Westphalia, a network of about 2500 km. First results of the simulation show that the typical travel patterns in the freeway network are reproduced by the simulation. Additionally, the simulation can be performed in multiple real-time - a basic requirement for a traffic forecast. For the future, it is planned to couple the current data provided by the online simulation to historical data collectcd in a database to provide a traffic forecast (Chrobok et al. 2000). Nevertheless, every traffic forecast suffers from a fundamental problem: the messages are based on predictions which themselves are affected by drivers' reactions to the messages they receive. Therefore, an anticipatory Iraffic forecast is necessary, which takes into consideration the reactions and decision-making of drivers.


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    Titel :

    An online simulation for the freeway network of north rhine-westphalia based on real- world traffic data


    Beteiligte:
    Wahle, J. (Autor:in)


    Erscheinungsdatum :

    2002


    Format / Umfang :

    18 Seiten, 9 Bilder, 14 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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